Abstract Fractional viscoelasticity in fractal and non-fractal media: Theory, experimental validation, and uncertainty analysis
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Fractional viscoelasticity in fractal and non-fractal media: Theory, experimental validation, and uncertainty analysis

机译:分形和非分形介质的分数粘弹性:理论,实验验证和不确定性分析

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摘要

AbstractIn this paper, fractional and non-fractional viscoelastic models for elastomeric materials are derived and analyzed in comparison to experimental results. The viscoelastic models are derived by expanding thermodynamic balance equations for both fractal and non-fractal media. The order of the fractional time derivative is shown to strongly affect the accuracy of the viscoelastic constitutive predictions. Model validation uses experimental data describing viscoelasticity of the dielectric elastomer Very High Bond (VHB) 4910. Since these materials are known for their broad applications in smart structures, it is important to characterize and accurately predict their behavior across a large range of time scales. Whereas integer order viscoelastic models can yield reasonable agreement with data, the model parameters often lack robustness in prediction at different deformation rates. Alternatively, fractional order models of viscoelasticity provide an alternative framework to more accurately quantify complex rate-dependent behavior. Prior research that has considered fractional order viscoelasticity lacks experimental validation and contains limited links between viscoelastic theory and fractional order derivatives. To address these issues, we use fractional order operators to experimentally validate fractional and non-fractional viscoelastic models in elastomeric solids using Bayesian uncertainty quantification. The fractional order model is found to be advantageous as predictions are significantly more accurate than integer order viscoelastic models for deformation rates spanning four orders of magnitude.
机译: 摘要 在本文中,我们导出了弹性材料的分数和非分数粘弹性模型,并与实验结果进行了比较。粘弹性模型是通过扩展分形和非分形介质的热力学平衡方程得出的。分数时间导数的阶数显示出强烈影响粘弹性本构预测的准确性。模型验证使用描述介电弹性体极高粘结性(VHB)4910的粘弹性的实验数据。由于这些材料在智能结构中的广泛应用而闻名,因此表征和准确预测其在大范围时间范围内的行为非常重要。尽管整数阶粘弹性模型可以与数据产生合理的一致性,但模型参数在不同变形速率下的预测中通常缺乏鲁棒性。或者,粘弹性的分数阶模型提供了一个替代框架,可以更准确地量化依赖于速率的复杂行为。先前考虑分数阶粘弹性的研究缺乏实验验证,并且粘弹性理论与分数阶导数之间的联系有限。为了解决这些问题,我们使用分数阶算子通过贝叶斯不确定性量化实验性地验证了弹性固体中的分数和非分数粘弹性模型。发现分数阶模型是有利的,因为对于跨越四个数量级的变形率,预测要比整数阶粘弹性模型准确得多。

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